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» Improving Bag-of-Features for Large Scale Image Search
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CEC
2008
IEEE
15 years 6 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
95
Voted
ISI
2008
Springer
14 years 11 months ago
Improving quality and performance of schema matching in large scale
ABSTRACT. Schema matching is a crucial task to gather information of the same domain. However, this process is still largely performed manually or semi-automatically, discouraging ...
Fabien Duchateau, Zohra Bellahsene, Mathieu Roche
86
Voted
INFORMATICALT
2010
101views more  INFORMATICALT 2010»
14 years 10 months ago
An Improved Differential Evolution Scheme for the Solution of Large-Scale Unit Commitment Problems
This paper presents an improved differential evolution (IDE) method for the solution of large-scale unit commitment (UC) problems. The objective of the proposed scheme is to determ...
Chen-Sung Chang
GCB
1997
Springer
77views Biometrics» more  GCB 1997»
15 years 3 months ago
Statistics of large scale sequence searching
Motivation: Database search programs such as FASTA, BLAST or a rigorous Smith–Waterman algorithm produce lists of database entries, which are assumed to be related to the query....
Rainer Spang, Martin Vingron
PAMI
2010
184views more  PAMI 2010»
14 years 10 months ago
Accurate Image Search Using the Contextual Dissimilarity Measure
— This paper introduces the contextual dissimilarity measure which significantly improves the accuracy of bag-offeatures based image search. Our measure takes into account the l...
Herve Jegou, Cordelia Schmid, Hedi Harzallah, Jako...